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How to Develop a Data Strategy for Analytics

It’s hard work to uncover real business results through analytics. It's common that you spend more time curating data than improving your algorithms. When diving into analytics for business value, you have to roll up your sleeves and prepare to put in the work. A data strategy for analytics may include finding real data sets from many sources that can be used in training your machine as quickly and effectively as possible, but one thing is imperative, the scalability and manageability of data is critical to the success of your analytics project.

In this webinar you’ll learn:
>Why an analytics strategy is paramount in driving business results
>Questions you should ask before building a strategy for analytics
>How to identify the different data needs for typical analytic workloads
Recorded May 29 2019 24 mins
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Presented by
Erik Ottem, Senior Director, Data Center Systems
Presentation preview: How to Develop a Data Strategy for Analytics
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Western Digital Corporation

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Trends and best-practices for data at scale
Western Digital Corporation is an industry-leading provider of storage technologies and solutions that enable people to create, leverage, experience and preserve data. The company addresses ever-changing market needs by providing a full portfolio of compelling, high-quality storage solutions with customer-focused innovation, high efficiency, flexibility and speed. Our products are marketed under the HGST, SanDisk and WD brands to OEMs, distributors, resellers, cloud infrastructure providers and consumers.
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  • Title: How to Develop a Data Strategy for Analytics
  • Live at: May 29 2019 5:00 pm
  • Presented by: Erik Ottem, Senior Director, Data Center Systems
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